Prediction of specific permeate flux during crossflow microfiltration of polydispersed colloidal suspensions by fuzzy logic models
暂无分享,去创建一个
[1] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[2] Nidal Hilal,et al. Neural network modeling for separation of bentonite in tubular ceramic membranes , 2008 .
[3] Jeonghwan Kim,et al. Influence of MF pretreatment on NF performance for aqueous solutions containing particles and an organic foulant , 2004 .
[4] Pirjo Vaija,et al. Prediction of the flux through an ultrafiltration membrane using fuzzy mathematics , 1993 .
[5] Abderrahim Abbas,et al. Model predictive control of a reverse osmosis desalination unit , 2006 .
[6] Mark R. Wiesner,et al. Evaluation of crossflow filtration models based on shear-induced diffusion and particle adhesion: Complications induced by feed suspension polydispersivity , 1998 .
[7] J. Laîné,et al. Neural networks for prediction of ultrafiltration transmembrane pressure – application to drinking water production , 1998 .
[8] Ali Zilouchian,et al. Automation and process control of reverse osmosis plants using soft computing methodologies , 2001 .
[9] Mohamad Amin Saad,et al. Early discovery of RO membrane fouling and real-time monitoring of plant performance for optimizing cost of water , 2004 .
[10] A. Altunkaynak,et al. Fuzzy logic model of lake water level fluctuations in Lake Van, Turkey , 2007 .
[11] M. Clark,et al. Adsorption of aquatic humic substances on hydrophobic ultrafiltration membranes , 1994 .
[12] Stefano Curcio,et al. REDUCTION AND CONTROL OF FLUX DECLINE IN CROSS-FLOW MEMBRANE PROCESSES MODELED BY ARTIFICIAL NEURAL NETWORKS , 2006 .
[13] H. Ridgway,et al. Biofouling of membranes: membrane preparation, characterization, and analysis of bacterial adhesion. , 1999, Methods in enzymology.
[14] Shankararaman Chellam,et al. Effect of pretreatment on surface water nanofiltration , 1997 .
[15] M. Wiesner,et al. Improvements in Membrane Microfiltration Using Coagulation Pretreatment , 1992 .
[16] Adrian Gambier,et al. Application of hybrid modeling and control techniques to desalination plants , 2003 .
[17] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[18] W. Richard Bowen,et al. Predicting salt rejections at nanofiltration membranes using artificial neural networks , 2000 .
[19] Shankararaman Chellam,et al. Artificial neural network model for transient crossflow microfiltration of polydispersed suspensions , 2005 .
[20] M. E. El-Hawary. Artificial neural networks and possible applications to desalination , 1993 .
[21] T. Ross. Fuzzy Logic with Engineering Applications , 1994 .
[22] M. V. Pilipovik,et al. Assessing the seasonal influence on the quality of seawater using fuzzy linear programming , 2008 .
[23] Gilles Trystram,et al. Automatic control of the crossflow microfiltration process using fuzzy logic , 1996 .
[24] Ke Cheng,et al. A new approach to performance analysis of a seawater desalination system by an artificial neural network , 2007 .